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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 AnnoXplorer: A Scalable, Integrated Approach for the Visual Analysis of Text Annotations Baumann, Martin; Minasyan, Harutyun; Koch, Steffen... In: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2020) (2020) BASE Show details 2 Annotating speaker stance in discourse:the Brexit Blog Corpus Simaki, Vasiliki; Paradis, Carita; Skeppstedt, Maria. - 2020 BASE Show details 3 Visual Analysis of Sentiment and Stance in Social Media Texts ... Kucher, Kostiantyn; Paradis, Carita; Kerren, Andreas. - : The Eurographics Association, 2018 BASE Show details 4 Evaluating stance-annotated sentences from political blogs regarding the Brexit:a quantitative analysis Simaki, Vasiliki; Kerren, Andreas; Paradis, Carita. - 2018 Abstract: This paper offers a formally driven quantitative analysis of stance-annotated sentences in the Brexit Blog Corpus (BBC). Our goal is to identify features that determine the formal profiles of six stance categories (contrariety, hypotheticality, necessity, prediction, source of knowledge and uncertainty) in a subset of the BBC. The study has two parts: firstly, it examines a large number of formal linguistic features, such as punctuation, words and grammatical categories that occur in the sentences in order to describe the specific characteristics of each category, and secondly, it compares characteristics in the entire data set in order to determine stance similarities in the data set. We show that among the six stance categories in the corpus, contrariety and necessity are the most discriminative ones, with the former using longer sentences, more conjunctions, more repetitions and shorter forms than the sentences expressing other stances. necessity has longer lexical forms but shorter sentences, which are syntactically more complex. We show that stance in our data set is expressed in sentences with around 21 words per sentence. The sentences consist mainly of alphabetical characters forming a varied vocabulary without special forms, such as digits or special characters. URL: https://doi.org/10.1515/icame-2018-0007 https://eprints.lancs.ac.uk/id/eprint/124797/1/_ICAME_Journal_Evaluating_stance_annotated_sentences_from_the_Brexit_Blog_Corpus_A_quantitative_linguistic_analysis.pdf https://eprints.lancs.ac.uk/id/eprint/124797/ BASE Hide details 5 Annotating speaker stance in discourse: the Brexit Blog Corpus (BBC) ... : Annotating speaker stance in discourse: the Brexit Blog Corpus (BBC) ... Kerren, Andreas; Paradis, Carita. - : Linnaeus University, 2017 BASE Show details 6 Brexit Blog Corpus (BBC) ... : Brexit Blog Corpus (BBC) ... Kerren, Andreas; Paradis, Carita. - : Linnaeus University, 2017 BASE Show details 7 Stance Classification in Texts from Blogs on the 2016 British Referendum Kerren, Andreas; Simaki, Vasiliki; Paradis, Carita. - : Springer, 2017 BASE Show details 8 Identifying the Authors’ National Variety of English in Social Media Text Simaki, Vasiliki; Simakis, Panagiotis; Paradis, Carita. - : Association for Computational Linguistics, 2017 BASE Show details 9 Visual Analysis of Text Annotations for Stance Classification with ALVA ... Kucher, Kostiantyn; Kerren, Andreas; Paradis, Carita. - : The Eurographics Association, 2016 BASE Show details 10 Visual analysis of online social media to open up the investigation of stance phenomena Kucher, Kostiantyn; Schamp-Bjerede, Teri; Kerren, Andreas. - : SAGE Publications, 2015 BASE Show details

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